Pinned Repositories
ai-deadlines
:alarm_clock: AI conference deadline countdowns
goserial
gowu
Golang library for Weather Underground API
parseclient
Go client for parse.com
rate_limit
A Python library for rate-limiting on App Engine using Memcache
rest
Easy Go client for http REST requests.
peterjliu's Repositories
peterjliu/gowu
Golang library for Weather Underground API
peterjliu/ai-deadlines
:alarm_clock: AI conference deadline countdowns
peterjliu/bert_score
BERT score for text generation
peterjliu/CRCN
Coherence + Recurrent Neural Network + Convolutional Neural Network
peterjliu/DALL-E
PyTorch package for the discrete VAE used for DALL·E.
peterjliu/datalab
peterjliu/face-alignment-dlib
Detect and align faces in images using dlib and opencv
peterjliu/generating-reviews-discovering-sentiment
Code for "Learning to Generate Reviews and Discovering Sentiment"
peterjliu/ggml-k8
Run GGML models with Kubernetes.
peterjliu/gohn
peterjliu/llama2.c
Inference Llama 2 in one file of pure C
peterjliu/MeanSum
peterjliu/mimic3-benchmarks
Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.
peterjliu/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
peterjliu/Mirai-Source-Code
Leaked Mirai Source Code for Research/IoC Development Purposes
peterjliu/mlhc17mit.github.io
peterjliu/models
Models built with TensorFlow
peterjliu/neural-doodle
Turn your two-bit doodles into fine artworks with deep neural networks! An implementation of Semantic Style Transfer.
peterjliu/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
peterjliu/objax
peterjliu/openai-openapi
OpenAPI specification for the OpenAI API
peterjliu/openrouter-runner
Inference engine powering open source models on OpenRouter
peterjliu/rcnn
Recurrent & convolutional neural network modules
peterjliu/roformer
Rotary Transformer
peterjliu/RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
peterjliu/self-instruct
Aligning pretrained language models with instruction data generated by themselves.
peterjliu/SeqGAN
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
peterjliu/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
peterjliu/whisper
Robust Speech Recognition via Large-Scale Weak Supervision
peterjliu/write-rnn-tensorflow
Generative Handwriting using LSTM Mixture Density Network with TensorFlow