🤗 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
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
- Python
01Обновлено 7 месяцев назад
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
pythonaimachine-learningtransformerslanguage-modelnlppytorchbertchatgptgenerative-aigpt-3large-language-modelsinformation-retrievalquestion-answeringsemantic-searchsquadsummarization- Python
01Обновлено 8 месяцев назад
An Open-Source Package for Textual Adversarial Attack.
- Python
01Обновлено 6 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
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
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
- Python
01Обновлено 8 месяцев назад
Сборник всех выполненных учебных проектов курса Яндекс.Практикум "Специалист по Data Science".
machine-learningpytorchdata-sciencebertnumpypandasscikit-learnseabornscipyxgboostcatboostlgbmmatplotlib- Jupyter Notebook
01Обновлено 7 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
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
- Python
00Обновлено 7 месяцев назад
An open-source NLP research library, built on PyTorch.
- Python
00Обновлено 7 месяцев назад
Stable Diffusion web UI
aideep-learningpytorchdiffusionstable-diffusionwebgradiotxt2imgunstableupscalingai-artimage-generationimage2imageimg2imgtext2imagetorch- Python
00Обновлено 7 месяцев назад
LLM (Large Language Model) FineTuning
llmlarge-language-modelspytorchllama2gpt-3llm-inferencellm-servingllm-trainingopen-source-llmmistral-7bgpt3-turbollm-finetuning- Jupyter Notebook
00Обновлено 7 месяцев назад
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
machine-learningdeep-learningpytorchfew-shot-recognitionimage-classificationmeta-learningfew-shot-classifcationfew-shot-learning- Python
00Обновлено 6 месяцев назад
On Transferability of Prompt Tuning for Natural Language Processing
nlppytorchpromptparameter-efficient-learningpretrained-modelspretrained-language-modelparameter-efficient-tuningpretrained-language-modelsprompt-tuningtransfer-learning- Python
00Обновлено 6 месяцев назад
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
pytorchpretrained-modelsimage-classificationdistributed-trainingefficientnetimagenetmaxvitmixnetmobile-deep-learningmobilenet-v2mobilenetv3nfnetsnormalization-free-trainingpretrained-weightsrandaugmentresnetvision-transformer-modelsaugmixconvnextdual-path-networks- Python
00Обновлено 6 месяцев назад
Копия репозитория https://github.com/parrt/tensor-sensor
- Jupyter Notebook
00Обновлено 5 месяцев назад
Хакатон "Русское искусство 2024"
- Python
00Обновлено 4 месяца назад
Deep Learning based NLP modeling for Russian language
- Python
00Обновлено 4 месяца назад
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
pytorchstylegan2basicsrbasicvsrdfdnetecbsredsredvresrganrcanrestorationsrgansrresnetsuper-resolutionswinir- Python
00Обновлено месяц 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
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
- Python
00Обновлено месяц назад
Курс по машинному обучению для МГТУ имени H.Э. Баумана
00Обновлено 8 месяцев назад