deep-learning-drizzle VS awesome-full-stack-machine-learning-courses

Compare deep-learning-drizzle vs awesome-full-stack-machine-learning-courses and see what are their differences.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!! (by kmario23)
Machine Learning Deep Learning deep-neural-networks Pattern Recognition Computer Vision Optimization visual-recognition reinforcement-learning deep-reinforcement-learning Natural Language Processing artificial-neural-networks artificial-intelligence-algorithms probabilistic-graphical-models bayesian-statistics speech-recognition graph-neural-networks medical-imaging geometric-deep-learning explainable-ai Probability
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deep-learning-drizzle.github.io
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awesome-full-stack-machine-learning-courses

Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford. (by leehanchung)
Machine Learning Deep Learning deep-neural-networks Berkeley reinforcement-learning stanford Udemy caltech columbia-university berkeley-ai berkeley-reinforcement-learning edx-columbiax computer-science
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deep-learning-drizzle

Posts with mentions or reviews of deep-learning-drizzle. We have used some of these posts to build our list of alternatives and similar projects.

awesome-full-stack-machine-learning-courses

Posts with mentions or reviews of awesome-full-stack-machine-learning-courses. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing deep-learning-drizzle and awesome-full-stack-machine-learning-courses you can also consider the following projects:

cs229-solution - CS229 Solution (summer 2019, 2020).

CS-7641-Machine-Learning-Notes - In this repository, I will publish my notes for GaTech's Machine Learning course CS7641.

OPUS-MT-train - Training open neural machine translation models

ultimate-volleyball-starter - Tutorial kit for building a 3D deep reinforcement learning environment with Unity ML-Agents.

bidd-molmap - MolMapNet: An Efficient ConvNet with Knowledge-based Molecular Represenations for Molecular Deep Learning

deep-rl-class - This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

Contour-Based-Writing - This is a simple concept to do writing like operation using the contours. Please follow the article https://q-viper.github.io/2020/08/28/gesture-based-visually-writing-system-web-app/ for further details.

ChessVision - Extract chess positions from photos of 2D chessboards (chess books, screenshots, etc.)

dkm - Dynamic Kernel Matching (DKM) for Classifying Data with Non-conforming Features

awesome-RLHF - A curated list of reinforcement learning with human feedback resources (continually updated)

TsetlinMachine - Code and datasets for the Tsetlin Machine

sa-uta11-results - 📈 [CHI 2023] Results of the statistical analysis applied to the UTA11 guide.

deep-learning-drizzle vs cs229-solution awesome-full-stack-machine-learning-courses vs CS-7641-Machine-Learning-Notes deep-learning-drizzle vs OPUS-MT-train deep-learning-drizzle vs ultimate-volleyball-starter deep-learning-drizzle vs bidd-molmap deep-learning-drizzle vs deep-rl-class deep-learning-drizzle vs Contour-Based-Writing deep-learning-drizzle vs ChessVision deep-learning-drizzle vs dkm deep-learning-drizzle vs awesome-RLHF deep-learning-drizzle vs TsetlinMachine deep-learning-drizzle vs sa-uta11-results