Pinned Repositories
ao
PyTorch native quantization and sparsity for training and inference
data
A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.
dynolog
Dynolog is a telemetry daemon for performance monitoring and tracing. It exports metrics from different components in the system like the linux kernel, CPU, disks, Intel PT, GPUs etc. Dynolog also integrates with pytorch and can trigger traces for distributed training applications.
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
FastChat
The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
tnt
A lightweight library for PyTorch training tools and utilities
data
A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
dahsh's Repositories
dahsh/ao
PyTorch native quantization and sparsity for training and inference
dahsh/data
A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.
dahsh/dynolog
Dynolog is a telemetry daemon for performance monitoring and tracing. It exports metrics from different components in the system like the linux kernel, CPU, disks, Intel PT, GPUs etc. Dynolog also integrates with pytorch and can trigger traces for distributed training applications.
dahsh/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
dahsh/FastChat
The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"
dahsh/google-research
Google Research
dahsh/ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
dahsh/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
dahsh/pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
dahsh/tnt
A lightweight library for PyTorch training tools and utilities
dahsh/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
dahsh/lidar-bonnetal
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
dahsh/llama
Inference code for LLaMA models
dahsh/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
dahsh/mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
dahsh/multimodal
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
dahsh/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
dahsh/ReAgent
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
dahsh/SparseR-CNN
End-to-End Object Detection with Learnable Proposal, CVPR2021
dahsh/tensorboard
TensorFlow's Visualization Toolkit
dahsh/tensorflow
An Open Source Machine Learning Framework for Everyone
dahsh/text
Data loaders and abstractions for text and NLP
dahsh/torcharrow
A torch.Tensor-like DataFrame library supporting multiple execution runtimes and Arrow as a common memory format
dahsh/torcheval
A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to facilitate metric computation in distributed training and tools for PyTorch model evaluations.
dahsh/torchrec
Pytorch domain library for recommendation systems
dahsh/torchtune
A Native-PyTorch Library for LLM Fine-tuning
dahsh/torchx
TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
dahsh/tutorials
PyTorch tutorials.
dahsh/vision
Datasets, Transforms and Models specific to Computer Vision
dahsh/wandb
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.