Jesse Cai (jcaip)

jcaip

Geek Repo

Company:@pytorch

Location:San Francisco CA

Home Page:jcaip.github.io

Github PK Tool:Github PK Tool


Organizations
uclaacmai

Jesse Cai's repositories

quickthoughts

pytorch reimplementation of qt paper

Language:PythonStargazers:9Issues:0Issues:0

jcaip.github.io

personal blog

Language:SCSSLicense:MITStargazers:2Issues:0Issues:0

anago

Bidirectional LSTM-CRF for Sequence Labeling. Easy-to-use and state-of-the-art performance.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

Burrows-Wheeler-Compression

An implementation of BWT in python

Language:PythonStargazers:0Issues:0Issues:0

configs

my i3 config, conkyrc, vimrc, and other config files

Language:ShellStargazers:0Issues:1Issues:0

contrast

Jekyll Theme

Language:CSSLicense:MITStargazers:0Issues:0Issues:0

CUDALibrarySamples

CUDA Library Samples

Language:CudaLicense:NOASSERTIONStargazers:0Issues:0Issues:0

fast-sparse-llama

Adapting SparseGPT to work with LLaMa and PyTorch semi-structured sparsity

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

fbpcs

FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data. Both parties have dedicated cloud computing instances living on separate Virtual Private Clouds (VPCs) that are connected to allow network communication. The FBPMP products that have been implemented are Private Lift and Private Attribution. It’s expected that more products will be implemented and added to the Private Measurement suite.

Language:C++License:MITStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0
Language:C++Stargazers:0Issues:0Issues:0

jupyterhub

Multi-user server for Jupyter notebooks

Language:PythonLicense:NOASSERTIONStargazers:0Issues:0Issues:0

Labelbox

The most versatile data labeling platform for training expert AI.

Language:TypeScriptLicense:Apache-2.0Stargazers:0Issues:1Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

MATH131

math 131

Language:TeXStargazers:0Issues:0Issues:0

MATH164

optimization

Language:TeXStargazers:0Issues:1Issues:0
Stargazers:0Issues:1Issues:0

Py-Psdd

LearnPsdd implemented in Python

Language:PythonStargazers:0Issues:0Issues:0

python-trading-bot-with-thinkorswim

This program is an automated trading bot that uses TDAmeritrades Thinkorswim trading platform's scanners and alerts systems to place trades dynamically using the TDAmeritrade API.

Stargazers:0Issues:0Issues:0

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

License:NOASSERTIONStargazers:0Issues:0Issues:0

pytorch-playground

Trying to learn more pytorch

Language:Jupyter NotebookStargazers:0Issues:1Issues:0

S2V

ICLR 2018 Quick-Thought vectors

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

scython

Scheme interpreter written in python as part of cs61as

Language:SchemeStargazers:0Issues:1Issues:0

SDNet

SDNet

License:MITStargazers:0Issues:0Issues:0

sentence-transformers

Sentence Embeddings with BERT & XLNet

License:Apache-2.0Stargazers:0Issues:0Issues:0

Sentence-VAE

PyTorch Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

Language:PythonStargazers:0Issues:0Issues:0

simulated_annealing

Simulated Annealing Demo

Language:PythonStargazers:0Issues:0Issues:0

SPTAG

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

Language:C++License:MITStargazers:0Issues:0Issues:0

startup

startup data analysis

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

text-vae

Implementation of https://arxiv.org/pdf/1511.06349.pdf

Language:PythonStargazers:0Issues:0Issues:0