abhi8893's Stars
eaglewarrior/CG_Pyspark_EDA_package
I made this pyspark EDA package for CG team
ritchieng/deep-learning-wizard
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
rohit-sahoo/Movies-Recommendation-system-using-Apache-Spark
Developed a movie recommendation system using MLLIB from Apache Spark
MLWhiz/data_science_blogs
A repository to keep track of all the code that I end up writing for my blog posts.
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
fastai/course-nlp
A Code-First Introduction to NLP course
MaheshBabu11/DeepLearning.AI-TensorFlow-Developer-Course
DeepLearning.AI TensorFlow Developer Professional Certificate -Coursera
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
microsoft/PythonProgrammingPuzzles
A Dataset of Python Challenges for AI Research
ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
artefactory/NLPretext
All the goto functions you need to handle NLP use-cases, integrated in NLPretext
abhishekkrthakur/approachingalmost
Approaching (Almost) Any Machine Learning Problem
trekhleb/machine-learning-experiments
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
williamfiset/Algorithms
A collection of algorithms and data structures
anu-coder/scikit-learn-ML
My scikit-learn journey
bhavsarpratik/serverless-transformers-on-aws-lambda
Deploy transformers serverless on AWS Lambda
ashupadhyay/Credit-Risk-Modelling-Python
In this repository I document my learnings from the course on Udemy - udemy.com/course/credit-risk-modeling-in-python/
Tuspatil/AI-On-Edge
Developed an IOT Platform for real time moni- toring system. Admins can register various types of sensors with their properties, and developers can up- load and run/schedule IOT based algorithms on them. The platform takes care of validating code, creating virtual environments, load balanc- ing,sensor binding and functionality of show- ing real time output which then can be used to take particular action. Technologies used: Python, kafka, Docker, Flask, MongoDB.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
minerva-ml/open-solution-home-credit
Open solution to the Home Credit Default Risk challenge :house_with_garden:
github/opensource.guide
📚 Community guides for open source creators
jupyter-naas/awesome-notebooks
A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
deepaksood619/365-Data-Science
365 Data Science Courses
bhousel/svg-labels
:label: Generate GitHub-style labels in SVG
facebookresearch/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
jamesturk/jellyfish
🪼 a python library for doing approximate and phonetic matching of strings.
scikit-learn-contrib/sklearn-pandas
Pandas integration with sklearn
lukewhyte/textpack
Group thousands of similar spreadsheet or database text entries in seconds
vopani/fortyone
Machine Learning begins with Human Learning
keon/algorithms
Minimal examples of data structures and algorithms in Python