OlivierShi's repositories
dora
DORA (Dataflow-Oriented Robotic Application) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dataflow capabilities. Applications are modeled as directed graphs, also referred to as pipelines.
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
AgentGPT
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
nd325-c1-implementing-privacy-in-software-applications
Privacy Engineering
Megatron-LM
Ongoing research training transformer language models at scale, including: BERT & GPT-2
gpt-3
GPT-3: Language Models are Few-Shot Learners
oliviershi.github.io
Olivier Shi
pycorrector
pycorrector is a toolkit for text error correction. It was developed to facilitate the designing, comparing, and sharing of deep text error correction models.
GPT2
An implementation of training for GPT2, supports TPUs
NumpyDL
Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.
censor-obfus
Chinese text censorship obfuscate - 敏感词混淆，同音字替换
tensorflow
Computation using data flow graphs for scalable machine learning
tf-seq2seq
Sequence to sequence learning using TensorFlow.
gym-trading
Environment for reinforcement-learning algorithmic trading models
practical-pytorch
PyTorch tutorials demonstrating modern techniques with readable code
artificial-intelligence-with-python
exercise in the book artificial-intelligence-with-python
lstm-cuda
This is a c++ implementation of an LSTM Neural Network parallelized for a GPU using CUDA
faster-rnnlm
Faster Recurrent Neural Network Language Modeling Toolkit with Noise Contrastive Estimation and Hierarchical Softmax
word2vec
Automatically exported from code.google.com/p/word2vec