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ml-explore
MLX: An array framework for Apple silicon
I am trying to use mx.pad with the optional constant array containing the padding values to be inserted, but it seems that only the first element of the constant array...
# 🚀 What is the purpose of this issue? According to the [documentation](https://ml-explore.github.io/mlx/build/html/python/_autosummary/mlx.nn.Conv2d.html), these are the parameters available for `Conv2d`. * **in_channels** ([int](https://docs.python.org/3/library/functions.html#int)) – The number of input channels. *...
Hello, is there a roadmap for future releases of MLX? I see there are a number of requests regarding features like missing operations (e.g. pooling/upsampling), quantized inference, profiling tools, a...
Hi, can you write example how to train model with 100+ pages x 100 document and ask system for summarization and generation new document with new data or train correct...
Can you tell me how to get pip install of the lastest commit ? pip install --upgrade --no-cache-dir https://github.com/ml-explore/mlx/archive/refs/heads/master.zip or pip install git+https://github.com/ml-explore/mlx@[commit-sha]
Hi everyone, **Proposal:** I would like to propose the addition of several other activation functions to the framework: - [ ] LeakyReLU - [ ] PReLU - [ ] ReLU6...
I would like to request the addition of native support for the Upsample operation in MLX. Currently, the absence of Upsample functionality limits the flexibility of certain tasks that require...
Hello there, great work ! I was checking if models with int8, int5, int4 quant formats can be used with this package ? Could you please create an example if...
It would be awesome if linear algebra operations could be supported directly in MLX, for example the equivalent of PyTorch linalg.solve, which PyTorch currently supports only on CPU but not...