deep-learning-drizzle VS cs229-solution

Compare deep-learning-drizzle vs cs229-solution 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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cs229-solution

CS229 Solution (summer 2019, 2020). (by huyphz)
Machine Learning cs229
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deep-learning-drizzle cs229-solution
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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.

cs229-solution

Posts with mentions or reviews of cs229-solution. 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 cs229-solution you can also consider the following projects:

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

stanford-CS229 - Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]

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

stanford-cs229 - 🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

awesome-full-stack-machine-learning-courses - Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

cs229-2019-summer - All notes and materials for the CS229: Machine Learning course by Stanford University

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

ai-deadlines - :alarm_clock: AI conference deadline countdowns

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

deep-learning-drizzle vs OPUS-MT-train cs229-solution vs stanford-CS229 deep-learning-drizzle vs ultimate-volleyball-starter cs229-solution vs stanford-cs229 deep-learning-drizzle vs awesome-full-stack-machine-learning-courses cs229-solution vs cs229-2019-summer deep-learning-drizzle vs bidd-molmap cs229-solution vs ai-deadlines deep-learning-drizzle vs deep-rl-class deep-learning-drizzle vs Contour-Based-Writing deep-learning-drizzle vs ChessVision deep-learning-drizzle vs dkm