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Learn the Deep Learning for Computer Vision in three steps: theory from base to SotA, code in PyTorch, and space-repetition with Anki
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
DROID Policy Learning and Evaluation
🪐 A curated list of awesome Blender addons, tools, tutorials; and 3D resources for everyone.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
Guide for fine-tuning Llama/Mistral/CodeLlama models and more
The author's officially unofficial PyTorch BigGAN implementation.
[SIGGRAPH Asia 2022] Assemble Them All: Physics-Based Planning for Generalizable Assembly by Disassembly
git extension for {collaborative, communal, continual} model development
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Run any open-source LLMs, such as Llama 3.1, Gemma, as OpenAI compatible API endpoint in the cloud.
SAM with text prompt
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series
A collection of pre-trained, state-of-the-art models in the ONNX format
OpenMMLab Detection Toolbox and Benchmark
ASR/NLP/TTS deep learning inference library for NVIDIA Jetson using PyTorch and TensorRT
Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"
Reference models and tools for Cloud TPUs.
This repository contains the code of the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts".
Examples and guides for using the OpenAI API
🦜🔗 Build context-aware reasoning applications
