🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
- Jupyter Notebook
29Обновлено 7 месяцев назад
Streamlit — A faster way to build and share data apps.
pythonmachine-learningdeep-learningdata-sciencestreamlitdata-analysisdata-visualizationdeveloper-tools- Python
02Обновлено 7 месяцев назад
Lightweight demos for finetuning of instruct LLMs. Powered by transformers/accelerate and open-source datasets.
- Jupyter Notebook
01Обновлено 7 месяцев назад
Making large AI models cheaper, faster and more accessible
aideep-learninginferencefoundation-modelsmodel-parallelismpipeline-parallelismdata-parallelismbig-modeldistributed-computingheterogeneous-traininghpclarge-scale- Python
01Обновлено 7 месяцев назад
12 Weeks, 24 Lessons, AI for All!
- Jupyter Notebook
01Обновлено 7 месяцев назад
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
- Python
01Обновлено 7 месяцев назад
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
hacktoberfestmachine-learningpytorchnatural-language-processingnlpcomputer-visiondatasetspandasdeep-learningtensorflownumpyspeech- Python
01Обновлено 8 месяцев назад
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
machine-learningpytorchdeep-learninginferencemixture-of-expertsgputrillion-parameterszerobillion-parameterscompressiondata-parallelismmodel-parallelismpipeline-parallelism- Python
01Обновлено 7 месяцев назад
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
pythonmachine-learningdeep-learninghacktoberfestdata-scienceuiui-componentsdata-analysisdata-visualizationinterfacepython-notebookdeploygradiogradio-interfacemodels- Python
01Обновлено 7 месяцев назад
Tensors and Dynamic neural networks in Python with strong GPU acceleration
- Python
01Обновлено 8 месяцев назад
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
- Jupyter Notebook
01Обновлено 6 месяцев назад
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
pythonhacktoberfestnlpdeep-learningquestion-answeringmilvusimage-recognitionimage-searchimage-classificationaudio-searchbenchmark-testingunstructured-data- Jupyter Notebook
01Обновлено 6 месяцев назад
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.
- Python
01Обновлено 5 месяцев назад
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
pythonhacktoberfestmachine-learningpytorchlanguage-modelnatural-language-processingnlpnlp-librarypretrained-modelspytorch-transformersseq2seqspeech-recognitiontensorflowtransformerbertdeep-learningflaxjaxlanguage-modelsmodel-hub- Python
01Обновлено 8 месяцев назад
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
llmmachine-learningnlpnatural-language-processingdeep-learninginformation-retrievallangchaindonutmlocrpdfpdf-to-jsonpdf-to-textpreprocessingdata-pipelinesdocument-image-analysisdocument-image-processingdocument-parserdocument-parsingdocx- HTML
01Обновлено 8 месяцев назад
A plug-and-play library for parameter-efficient-tuning (Delta Tuning)
- Python
00Обновлено 6 месяцев назад
Code and documentation to train Stanford's Alpaca models, and generate the data.
- Python
00Обновлено 6 месяцев назад
100 Days of ML Coding
pythonmachine-learningdeep-learninglinear-algebrascikit-learnlinear-regressionlogistic-regressionmachine-learning-algorithmsnaive-bayes-classifiersiraj-ravalsiraj-raval-challengesupport-vector-machinessvmtutorial100-days-of-code-log100daysofcodeimplementationinfographics- Markdown
00Обновлено 6 месяцев назад
Code and documentation to train Stanford's Alpaca models, and generate the data.
- Python
00Обновлено 6 месяцев назад
Копия репозитория https://github.com/parrt/tensor-sensor
- Jupyter Notebook
00Обновлено 5 месяцев назад
Deep Learning based NLP modeling for Russian language
- Python
00Обновлено 4 месяца назад
Emotions recognition from audio and text files (only russian language)
pythonmachine-learningdeep-learningartificial-intelligencetext-classificationspeech-recognitionpackagerussian-languagespeech-to-textemotion-recognitionvoice-classfication- Python
00Обновлено 3 месяца назад
WaRP dataset includes labeled images of an industrial conveyor.
- Shell
00Обновлено 2 месяца назад
Caffe: a fast open framework for deep learning.
- C++
00Обновлено 2 месяца назад
Tensors and Dynamic neural networks in Python with strong GPU acceleration
- Python
00Обновлено 2 месяца назад
FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.
- Python
00Обновлено месяц назад
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
- Python
00Обновлено месяц назад
ncnn is a high-performance neural network inference framework optimized for the mobile platform
deep-learningpytorchartificial-intelligenceandroidinferenceiosneural-networkvulkantensorflowkerasonnxriscvcaffemxnetncnnsimdarm-neondarknethigh-preformancemlir- C++
00Обновлено месяц назад
Open standard for machine learning interoperability
machine-learningdeep-learningpytorchneural-networktensorflowmlonnxkerasscikit-learnmxnetdeep-neural-networksdnn- PureBasic
00Обновлено месяц назад
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
machine-learningdeep-learningpytorchtensorflowonnxscikit-learnneural-networksai-frameworkhardware-acceleration- C++
00Обновлено месяц назад