jasonchen0755 Goto Github PK

brain-tokyo-workshop

🧠🗼Weight Agnostic NN in it

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

context_distillation

Framework to achieve context distillation in LLMs

distilling-step-by-step

fairscale

PyTorch extensions for high performance and large scale training.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fairseq2

FAIR Sequence Modeling Toolkit 2

fasttext

Library for fast text representation and classification.

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

finetuneasia

grad-cam

[ICCV 2017] Torch code for Grad-CAM

labs-fa17

Lab notebooks for the Fall 2017 offering of Georgia Tech's CSE 6040

llama-adapter

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

llmft

Fine-tuning large language models with huggingface transformers and deepspeed

omegaconf

Flexible Python configuration system. The last one you will ever need.

pytorch-biggraph

Generate embeddings from large-scale graph-structured data.

starspace

Learning embeddings for classification, retrieval and ranking.

stylized-imagenet

Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)

texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

vae_tutorial

Caffe code to accompany my Tutorial on Variational Autoencoders