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Code release for RICA^2: Rubric-Informed, Calibrated Assessment of Actions (ECCV 2024)
Video+code lecture on building nanoGPT from scratch
Open-Sora: Democratizing Efficient Video Production for All
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Fast bare-bones BPE for modern tokenizer training
The official PyTorch implementation of Google's Gemma models
This is a workshop designed for Amazon Bedrock a foundational model service.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
A complete daily plan for studying to become a machine learning engineer.
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Modeling, training, eval, and inference code for OLMo
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Minimal PyTorch implementations of NeRF and pixelNeRF.
Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".
Efficient computing methods developed by Huawei Noah's Ark Lab
WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
[CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)