Phillip Alternatives
Similar projects and alternatives to phillip based on common topics and language
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PyGame-Learning-Environment
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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deepdrive
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
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Note
Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, CLIP, ViT, ConvNeXt, SwiftFormer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow. (by NoteDance)
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phillip reviews and mentions
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[P] Imitation Learning (+RL) in Super Smash Bros Melee for Humanlike Agents
Project Nabla is an AI trained with deep neural networks using behavioral cloning and deep reinforcement learning self-play, similar to AlphaStar. It is enabled by the recent launch of a suite of software tools for the game known as "Slippi" which allow for us to save human replays. We train on a subset of ~100k tournament games. It is similar to the older Phillip project, which did not have the benefit of Slippi when it was created (and doesn't use any human replays).
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Imma write a machine learning program and let it run for a month
Could take a look at this https://github.com/vladfi1/phillip
Stats
vladfi1/phillip is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.
The primary programming language of phillip is Python.
