junkgear

ast_seq_nl

java method(ast) in seq to natural language description in tensorflow

autokeras

Accessible AutoML for deep learning.

code_search

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

convolutional-attention

Repository for the code of the "A Convolutional Attention Network for Extreme Summarization of Source Code" paper

Deepcode_Check_C

ENAS-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

federated

A framework for implementing federated learning

Issue-Label-Bot

Code For The Issue Label Bot, an App that automatically labels issues using machine learning, available on the GitHub Marketplace. This is also code for the blog article: "How to automate tasks on GitHub with machine learning for fun and profit"

junkgear/code_search

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

junkgear/Deepcode_Check_C

junkgear/Issue-Label-Bot

Code For The Issue Label Bot, an App that automatically labels issues using machine learning, available on the GitHub Marketplace. This is also code for the blog article: "How to automate tasks on GitHub with machine learning for fun and profit"

junkgear/awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

junkgear/awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

junkgear/bigcode-dataset

junkgear/code2seq

Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"

junkgear/corenet

CoreNet: A library for training deep neural networks

junkgear/d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

junkgear/dbda

junkgear/deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

junkgear/Deepcode_Check_CPP

junkgear/DrQA

Reading Wikipedia to Answer Open-Domain Questions

junkgear/DualTPP

Code for "Long Horizon Forecasting With Temporal Point Processes", WSDM 2021

junkgear/finetune-gpt2xl

Guide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpeed

junkgear/flaxformer

junkgear/GitCommitQ

ETL collect Github commits data (no API account required)

junkgear/imgaug

Image augmentation for machine learning experiments.

junkgear/junkgear

Config files for my GitHub profile.

junkgear/langchain

⚡ Building applications with LLMs through composability ⚡

junkgear/nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

junkgear/newspaper

News, full-text, and article metadata extraction in Python 3. Advanced docs:

junkgear/Open-Assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

junkgear/petals

🌸 Run 100B+ language models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

junkgear/polars

Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js

junkgear/quokka

Open source SQL engine in Python

junkgear/retentioneering-tools

Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, AB tests, machine learning, and Monte Carlo Markov Chain simulations, extending Pandas, Networkx and sklearn.

junkgear/tad

A desktop application for viewing and analyzing tabular data

junkgear/TextBox

TextBox 2.0 is a text generation library with pre-trained language models

junkgear/vaex

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀