Repositories
DN6/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
DN6/giffusion
Create GIFs and Videos using Stable Diffusion
DN6/world_engine
World Model Inference Engine
DN6/whisper-eval
Evaluate OpenAI's whisper model
DN6/diffusers-video-experiments
Experiments for video generation techniques
DN6/optimum-quanto
A pytorch quantization backend for optimum
DN6/controlnet_aux
DN6/fetch-configs
DN6/alpaca-lora
Instruct-tune LLaMA on consumer hardware
DN6/langchain
⚡ Building applications with LLMs through composability ⚡
DN6/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
DN6/stable-diffusion
A latent text-to-image diffusion model
DN6/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
DN6/gradio
Create UIs for your machine learning model in Python in 3 minutes
DN6/kangas
Explore multimedia datasets at scale
DN6/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
DN6/lightning
The most intuitive, flexible, way for researchers, ML engineers and data scientists to build models (with PyTorch) and ML systems for the ML lifecycle with an obsessive focus on flexibility and performance.
DN6/labml
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
DN6/spark-nlp
State of the Art Natural Language Processing
DN6/tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
DN6/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
DN6/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.