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🔥 🔥 🔥 [NeurIPS 2024] Official Implementation of Hawk: Learning to Understand Open-World Video Anomalies
Training PyTorch models with differential privacy
A MULTI-GENERATOR ENSEMBLE FRAMEWORK FOR NATURAL LANGUAGE TO SQL
Scrapes post data from company pages
2025 SWE internship & new graduate job list updated daily
2025 AI/ML internship & new graduate job list updated daily
Collection of Summer 2025 tech internships!
Collection of 2025 New Grad Jobs in Software Engineer!
Official inference framework for 1-bit LLMs
A bibliography and survey of the papers surrounding o1
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
🏅 Collection of Kaggle Solutions and Ideas 🏅
A curated list of awesome Machine Learning frameworks, libraries and software.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
A visual introduction to probability and statistics.
Probabilistic reasoning and statistical analysis in TensorFlow
Statsmodels: statistical modeling and econometrics in Python
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Code repository for O'Reilly book