DarrenZhang01
Master in ML @ UToronto | R&D @ Google Brain TensorFlow Team (GSoC '20)
University of TorontoToronto
DarrenZhang01's Stars
meta-llama/llama
Inference code for Llama models
LAION-AI/Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
openai/tiktoken
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
google/sentencepiece
Unsupervised text tokenizer for Neural Network-based text generation.
haifengl/smile
Statistical Machine Intelligence & Learning Engine
facebookresearch/ConvNeXt
Code release for ConvNeXt model
MariaDB/server
MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry.
deepjavalibrary/djl
An Engine-Agnostic Deep Learning Framework in Java
microsoft/torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
huggingface/blog
Public repo for HF blog posts
ramprs/grad-cam
[ICCV 2017] Torch code for Grad-CAM
InterDigitalInc/CompressAI
A PyTorch library and evaluation platform for end-to-end compression research
pfnet-research/sngan_projection
GANs with spectral normalization and projection discriminator
sylinrl/TruthfulQA
TruthfulQA: Measuring How Models Imitate Human Falsehoods
xuqiantong/GAN-Metrics
An empirical study on evaluation metrics of generative adversarial networks.
collin-burns/discovering_latent_knowledge
awslabs/rds-support-tools
Amazon RDS Support Tools contains utilities, sql, scripts and views which are useful in a RDS environment
awsdocs/aws-cli-user-guide
The open source version of the AWS CLI User Guide
Daniel-Liu-c0deb0t/Java-Machine-Learning
Deep learning library for Java, with fully connected, convolutional, and recurrent layers. Also features many gradient descent optimization algorithms.
YannDubs/lossyless
Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".
jeremiecoullon/SGMCMCJax
Lightweight library of stochastic gradient MCMC algorithms written in JAX.
p-lambda/incontext-learning
Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"
ShannonAI/Self_Explaining_Structures_Improve_NLP_Models
ruiliu-ai/DivCo
Official Pytorch implementation of "DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network" (CVPR'21)
google-deepmind/ssl_hsic
RaptorMai/CompBench
CompBench evaluates the comparative reasoning of multimodal large language models (MLLMs) with 40K image pairs and questions across 8 dimensions of relative comparison: visual attribute, existence, state, emotion, temporality, spatiality, quantity, and quality. CompBench covers diverse visual domains, including animals, fashion, sports, and scenes.
DarrenZhang01/ExCon
ExCon: Explanation-driven Supervised Contrastive Learning
DarrenZhang01/generalized_advantage_estimation
Course Presentation for STA4273 2021 Winter, University of Toronto
DarrenZhang01/TensorFlow_GSoC
Neural Tangents for TensorFlow 2.x.