tanaysh7
University of Southern California. Data Science . Machine Learning . NLP . Data Mining . Knowledge graphs
Los Angeles
tanaysh7's Stars
gradio-app/gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
google-research/google-research
Google Research
s-yata/darts-clone
A clone of Darts (Double-ARray Trie System)
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
rfordatascience/tidytuesday
Official repo for the #tidytuesday project
JifuZhao/DS-Take-Home
My solution to the book A Collection of Data Science Take-Home Challenges
joelgrus/data-science-from-scratch
code for Data Science From Scratch book
aasu14/Data-Science-Hackathon-And-Competition
Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI
charliewolf/pynder
:fire: Python client for tinder api
ujjwalkarn/DataSciencePython
common data analysis and machine learning tasks using python
eliasdabbas/trending-twitter
Simple dashboard for getting currently trending hashtags and topics on Twitter
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
microsoft/nlp-recipes
Natural Language Processing Best Practices & Examples
openai/gpt-3
GPT-3: Language Models are Few-Shot Learners
k-sys/covid-19
A collection of work related to COVID-19
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
alievk/avatarify-python
Avatars for Zoom, Skype and other video-conferencing apps.
google/trax
Trax — Deep Learning with Clear Code and Speed
facebookresearch/ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
ResidentMario/designing-data-intensive-applications-notes
Reading notes on the excellent "Designing Data-Intensive Applications"
binhnguyennus/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
anishathalye/neural-style
Neural style in TensorFlow! 🎨
reedscot/icml2016
Generative Adversarial Text-to-Image Synthesis
alexeygrigorev/data-science-interviews
Data science interview questions and answers
indy256/Full-stack-Developer-Interview-Questions-and-Answers
:grey_question:Full-stack developer interview questions and answers
susanli2016/NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
dpkp/kafka-python
Python client for Apache Kafka
microsoft/MASS
MASS: Masked Sequence to Sequence Pre-training for Language Generation